Item Response Modeling

This workshop will provide an overview of item response modeling, a family of statistical techniques for analyzing test and questionnaire data. We will start with a brief introduction to philosophies of measurement and discuss how item response modeling can be used to achieve effective measurement. We will work through analyses of dichotomous item data, including a discussion of how to determine the number of dimensions underlying a group of items.

- Philosophies of measurement and inadequacies of classical test    theory
-Dichotomous models
-Introduction to item factor analysis

Instructor: Dr. Ryan Bowles, PhD., is an assistant professor in the Department of Human Development and Family Studies. His areas of expertise include measurement and longitudinal methods.

Date: Friday, March 30, 2012

Time: 1:00 PM - 4:00 PM

Location: 106 Farrall Ag. Eng. Hall

Audience: Faculty and graduate students who want to learn contemporary approaches to measurement

Registration closed. Maximum capacity has been reached.